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admonster's Projects

ahu icon ahu

安徽大学计算机专业【初试真题】 - >计算机专业基础(数据结构,操作系统)【复试真题】 - >计算机专业综合(计算机组成原理,数据库原理)

beeps icon beeps

Bi-Exponential Edge-Preserving Smoother

beeps-objc icon beeps-objc

The bi-exponential edge-preserving smoother (BEEPS) algorithms implementation based on objc.

cp11fall_project1 icon cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

generalized-smoothing-framework icon generalized-smoothing-framework

This is the released code for the following papers: A generalized framework for edge-preserving and structure-preserving image smoothing. Liu W, et al., TPAMI 2021, AAAI 2020

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

mespd_tcsvt-2021 icon mespd_tcsvt-2021

This is the Matlab code of paper "Detail-Preserving Multi-Exposure Fusion with Edge-Preserving Structural Patch Decomposition, IEEE TCSVT,2021''

noise-adaptive-switching-non-local-means icon noise-adaptive-switching-non-local-means

Aiming at the removal of salt-and-pepper noise, a noise adaptive switching non-local means denoising algorithm (NASNLM) is proposed in this program. For noise detection, the pixels of image are divided into the noise and the non-noise points. For filtering, four different filtering techniques are adopted: switching filtering, noise adaptive median filtering, edge-perserving filtering and non-local means filtering. Switching filtering can keep the gray-value of non-noise points unchanged. Noise adaptive median filtering can suppress the high-density salt-and-pepper noise. Edge-preserving filtering can preserve more image edges and details. Non-local means filtering can further improve the ability of noise suppression and detail maintenance. Experiments demonstrate that for removal of the high-density salt-and-pepper noise by NASNLM algorithm, a better denoising effect is obtained than other methods.

pdfbooks icon pdfbooks

本科PDF教材、机器学习相关中英文PDF文档,长期更新。包含工程力学、材料科学基础、概率论与数理统计、电工电子技术、线性代数、高等数学等PDF文档

rog icon rog

Edge/Structure Preserving Smoothing via Relativity-of-Gaussian

scdl icon scdl

Source codes for CVPR12 Paper on semi-coupled dictionary learning

skills icon skills

个人的技能树仓库,主要包含个人机器学习以及深度学习的笔记

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